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Paper Abstract and Keywords
Presentation 2013-07-19 09:30
A neuroscientific explanation for the brain's memory system with the cocktail party effect by the iterative learning method -- A Hebb's learning model for the network system of neurons with the analog-digital operating characteristics --
Miyuki Seino (Seino Information System) NC2013-15
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes the cocktail party effect as a phenomenon of the brain’s active memory system by iterative learning mechanism. The quantity of memory for an object is increased with the number of times of learning the features in the object, along the sigmoid learning curve. The transient noise during learning may not be memorized because of the fewer number of learning. Indeed, the iterative learning mechanism is an automatic valuation system as well as an automatic noise reduction system for memorizing. The memory model is statistical as well as based on Hebb’s learning model on the neuron-synapse level.
Keyword (in Japanese) (See Japanese page) 
(in English) cocktail party effect / iterative learning mechanism / active memory / noise reduction / evaluation / EPSP / IPSP / memory on link  
Reference Info. IEICE Tech. Rep., vol. 113, no. 148, NC2013-15, pp. 1-6, July 2013.
Paper # NC2013-15 
Date of Issue 2013-07-12 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2013-15

Conference Information
Committee NC MBE  
Conference Date 2013-07-19 - 2013-07-20 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Tokushima 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, general 
Paper Information
Registration To NC 
Conference Code 2013-07-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A neuroscientific explanation for the brain's memory system with the cocktail party effect by the iterative learning method 
Sub Title (in English) A Hebb's learning model for the network system of neurons with the analog-digital operating characteristics 
Keyword(1) cocktail party effect  
Keyword(2) iterative learning mechanism  
Keyword(3) active memory  
Keyword(4) noise reduction  
Keyword(5) evaluation  
Keyword(6) EPSP  
Keyword(7) IPSP  
Keyword(8) memory on link  
1st Author's Name Miyuki Seino  
1st Author's Affiliation Seino Information System (Seino Information System)
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Speaker Author-1 
Date Time 2013-07-19 09:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2013-15 
Volume (vol) vol.113 
Number (no) no.148 
Page pp.1-6 
#Pages
Date of Issue 2013-07-12 (NC) 


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